aero — CS2 Stats
US76561198254814738[U:1:294549010]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 51.6% | 52.0% |
| Shot accuracy | 11.2% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 42.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like device 95% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | A | 27 | 15–12 | 56% | 0.02 |
 mirage | A | 26 | 16–10 | 62% | 0.02 |
 inferno | C | 16 | 6–10 | 38% | 0.01 |
 nuke | S | 10 | 7–3 | 70% | 0.00 |
 anubis | D | 9 | 3–6 | 33% | 0.02 |
 ancient | S | 6 | 4–2 | 67% | 0.02 |
 cache | — | 2 | 1–1 | 50% | 0.05 |
 overpass | — | 2 | 1–1 | 50% | 0.02 |
 train | — | 1 | 0–1 | 0% | 0.05 |
| sanctum | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 473 | 53% | 1.03 | 14.1 |
| Ancient | 238 | 53% | 0.98 | 13.3 |
| Anubis | 178 | 51% | 1.00 | 13.4 |
| Dust2 | 150 | 58% | 1.14 | 15.4 |
| Nuke | 141 | 57% | 1.12 | 14.5 |
| Vertigo | 113 | 59% | 1.06 | 13.7 |
| Inferno | 71 | 46% | 1.00 | 14.7 |
| Overpass | 35 | 49% | 0.97 | 13.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–8 | 0.13 | 23% | 28 Aug → | |
| mirage | 5–13 | 0.05 | 13% | 28 Aug → | |
| anubis | 11–13 | -0.03 | 16% | 28 Aug → | |
| inferno | 8–8 | 0.09 | 17% | 28 Aug → | |
| nuke | 13–6 | -0.01 | 18% | 25 Aug → | |
| anubis | 17–19 | -0.03 | 15% | 23 Aug → | |
| mirage | 13–0 | 0.10 | 11% | 20 Aug → | |
| nuke | 16–14 | 0.00 | 15% | 19 Aug → | |
| mirage | 10–13 | 0.03 | 23% | 13 Aug → | |
| cache | 13–11 | 0.05 | 28% | 11 Aug → | |
| dust2 | 13–11 | -0.01 | 18% | 9 Aug → | |
| mirage | 13–8 | -0.00 | 7% | 9 Aug → | |
| dust2 | 3–13 | -0.06 | 28% | 7 Aug → | |
| dust2 | 16–13 | 0.06 | 19% | 6 Aug → | |
| mirage | 10–13 | -0.00 | 18% | 5 Aug → | |
| nuke | 13–10 | 0.02 | 23% | 4 Aug → | |
| mirage | 13–11 | -0.02 | 17% | 4 Aug → | |
| dust2 | 19–17 | 0.04 | 18% | 4 Aug → | |
| inferno | 9–2 | 0.06 | 15% | 2 Aug → | |
| anubis | 11–13 | 0.02 | 20% | 31 Jul → | |
| dust2 | 8–2 | -0.01 | 25% | 31 Jul → | |
| dust2 | 9–13 | -0.05 | 40% | 22 Jul → | |
| dust2 | 10–13 | 0.16 | 13% | 22 Jul → | |
| dust2 | 13–7 | 0.09 | 18% | 21 Jul → | |
| nuke | 13–5 | 0.01 | 26% | 21 Jul → | |
| mirage | 6–13 | -0.03 | 15% | 20 Jul → | |
| mirage | 13–5 | 0.03 | 31% | 20 Jul → | |
| mirage | 13–16 | -0.02 | 9% | 14 Jul → | |
| nuke | 13–5 | -0.03 | 21% | 9 Jul → | |
| ancient | 13–5 | -0.02 | 12% | 9 Jul → | |
| dust2 | 2–13 | 0.02 | 32% | 9 Jul → | |
| mirage | 13–11 | -0.03 | 20% | 9 Jul → | |
| dust2 | 13–3 | 0.14 | 11% | 8 Jul → | |
| dust2 | 11–13 | 0.09 | 21% | 8 Jul → | |
| overpass | 13–5 | 0.04 | 15% | 5 Jul → | |
| anubis | 13–16 | -0.02 | 5% | 3 Jul → | |
| inferno | 12–16 | -0.00 | 17% | 30 Jun → | |
| ancient | 13–8 | -0.01 | 22% | 30 Jun → | |
| ancient | 13–5 | 0.06 | 13% | 30 Jun → | |
| mirage | 9–13 | -0.00 | 16% | 30 Jun → | |
| train | 1–13 | 0.05 | 24% | 29 Jun → | |
| mirage | 13–3 | 0.11 | 22% | 27 Jun → | |
| dust2 | 13–16 | -0.04 | 18% | 27 Jun → | |
| mirage | 13–7 | 0.01 | 10% | 26 Jun → | |
| ancient | 7–13 | 0.02 | 11% | 26 Jun → | |
| nuke | 9–13 | -0.05 | 22% | 25 Jun → | |
| inferno | 13–3 | 0.01 | 12% | 25 Jun → | |
| dust2 | 2–2 | -0.05 | 0% | 25 Jun → | |
| mirage | 13–7 | 0.02 | 22% | 24 Jun → | |
| mirage | 13–7 | -0.05 | 2% | 23 Jun → | |
| inferno | 5–9 | -0.11 | 17% | 21 Jun → | |
| dust2 | 16–13 | -0.10 | 19% | 20 Jun → | |
| dust2 | 8–13 | -0.01 | 35% | 19 Jun → | |
| anubis | 16–12 | 0.03 | 26% | 19 Jun → | |
| mirage | 13–8 | 0.03 | 16% | 16 Jun → | |
| ancient | 13–10 | 0.07 | 14% | 16 Jun → | |
| anubis | 4–13 | -0.01 | 39% | 16 Jun → | |
| mirage | 13–7 | 0.08 | 27% | 9 Jun → | |
| anubis | 13–9 | -0.01 | 16% | 9 Jun → | |
| nuke | 1–13 | 0.03 | 23% | 8 Jun → | |
| dust2 | 2–13 | -0.12 | 14% | 8 Jun → | |
| inferno | 9–3 | 0.10 | 13% | 7 Jun → | |
| inferno | 5–9 | -0.06 | 16% | 7 Jun → | |
| inferno | 4–9 | -0.08 | 10% | 7 Jun → | |
| cache | 12–12 | 0.06 | 13% | 6 Jun → | |
| mirage | 7–0 | 0.08 | 17% | 6 Jun → | |
| overpass | 0–13 | -0.00 | 0% | 6 Jun → | |
| mirage | 5–13 | 0.06 | 19% | 6 Jun → | |
| dust2 | 11–13 | 0.01 | 18% | 6 Jun → | |
| inferno | 2–13 | -0.08 | 9% | 6 Jun → | |
| mirage | 9–13 | -0.06 | 19% | 6 Jun → | |
| dust2 | 6–13 | 0.03 | 16% | 5 Jun → | |
| mirage | 13–0 | -0.00 | 0% | 22 May → | |
| dust2 | 10–13 | 0.02 | 25% | 9 May → | |
| inferno | 9–0 | 0.22 | 32% | 7 May → | |
| inferno | 3–9 | -0.03 | 18% | 7 May → | |
| dust2 | 13–8 | 0.06 | 29% | 5 May → | |
| dust2 | 13–7 | 0.13 | 25% | 2 May → | |
| inferno | 11–13 | 0.02 | 12% | 2 May → | |
| mirage | 0–4 | -0.07 | 0% | 2 May → | |
| mirage | 13–6 | 0.09 | 26% | 2 May → | |
| nuke | 10–13 | -0.00 | 17% | 1 May → | |
| dust2 | 13–8 | -0.01 | 30% | 1 May → | |
| inferno | 12–16 | -0.06 | 12% | 1 May → | |
| inferno | 16–14 | 0.00 | 14% | 21 Apr → | |
| nuke | 13–7 | 0.01 | 29% | 21 Apr → | |
| sanctum | 7–9 | -0.01 | 12% | 21 Apr → | |
| inferno | 9–6 | 0.13 | 20% | 21 Apr → | |
| inferno | 6–9 | -0.03 | 11% | 21 Apr → | |
| dust2 | 13–10 | -0.04 | 11% | 21 Apr → | |
| mirage | 19–16 | -0.00 | 13% | 14 Apr → | |
| anubis | 13–3 | 0.10 | 15% | 6 Apr → | |
| ancient | 2–13 | 0.03 | 19% | 6 Apr → | |
| dust2 | 13–8 | 0.07 | 18% | 6 Apr → | |
| dust2 | 11–13 | -0.05 | 20% | 4 Apr → | |
| anubis | 10–13 | 0.16 | 13% | 2 Apr → | |
| mirage | 7–13 | 0.07 | 33% | 2 Apr → | |
| dust2 | 13–8 | 0.04 | 27% | 1 Apr → | |
| dust2 | 13–2 | 0.11 | 28% | 1 Apr → | |
| nuke | 13–2 | 0.06 | 17% | 1 Apr → |
Match data via Leetify.
